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Research on low-carbon flexible job shop scheduling problem based on improved Grey Wolf Algorithm
As a significant branch of production scheduling problem, the Flexibility Job Shop Scheduling Problem (FJSP) is a typical NP-hard problem. Most...
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Hybrid artificial immune algorithm for energy-efficient distributed flexible job shop in semiconductor manufacturing
In semiconductor manufacturing, constraints, including multiple scheduling routes, complex production processes, and robotic transportation,...
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Multi-strategy improved sparrow search algorithm for job shop scheduling problem
As a new swarm intelligence algorithm, sparrow search algorithm (SSA) has the advantages of fewer parameters, simplicity, strong global and local...
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A multi-neighborhood-based multi-objective memetic algorithm for the energy-efficient distributed flexible flow shop scheduling problem
This paper focuses on an energy-efficient distributed flexible flow shop scheduling problem (EEDFFSP) with variable machine speed. The EEDFFSP needs...
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A self-learning discrete salp swarm algorithm based on deep reinforcement learning for dynamic job shop scheduling problem
For the dynamic job shop scheduling problem (DJSP), an improved variant of salp swarm algorithm (SSA) named self-learning discrete salp swarm...
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An Improved NSGA-II for Solving Reentrant Flexible Assembly Job Shop Scheduling Problem
In the wafer manufacturing process of micro electro mechanical systems (MEMS), there are reentrant flow, parallel machines, and assembly operation....
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Improved particle swarm optimization based on blockchain mechanism for flexible job shop problem
The emergence and massive growth of cloud computing increased the demand for task scheduling strategies to utilize the full potential of...
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AHOA: Adaptively Hybrid Optimization Algorithm for Flexible Job-shop Scheduling Problem
The Flexible Job-shop Scheduling Problem (FJSP) is a typical scheduling problem in industrial production that is proven to be NP-hard. The Genetic...
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Multi-objective Optimization of the Job Shop Scheduling Problem on Unrelated Parallel Machines with Sequence-Dependent Setup Times
Several optimization criteria are involved in the job shop scheduling problems encountered in the engineering area. Multi-objective optimization...
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Double deep Q-network-based self-adaptive scheduling approach for smart shop floor
In the field of smart manufacturing, the data-driven scheduling approach has become an effective way to solve the smart shop floor scheduling problem...
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Neighbourhood search for energy minimisation in flexible job shops under fuzziness
Uncertainty pervades real life and supposes a challenge for all industrial processes as it makes it difficult to predict the outcome of otherwise...
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Recent trends in distributed production network scheduling problem
The complex problems in the real world, an increase in competition among producers, the advancements in equipment and manufacturing products, the...
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A signal-driven based flexible integrated scheduling algorithm with bidirectional coordination mechanism
Due to the excessive reliance on short-time strategy to weaken the flexibility of equipment, ignore the dual selection relationship between equipment...
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An estimation of distribution algorithm with multiple intensification strategies for two-stage hybrid flow-shop scheduling problem with sequence-dependent setup time
The estimation of distribution algorithm (EDA) has recently emerged as a promising alternative to the traditional evolutionary algorithms for solving...
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An ensemble discrete water wave optimization algorithm for the blocking flow-shop scheduling problem with makespan criterion
Production scheduling plays a pivotal role in smart factories due to the development of intelligent manufacturing. As a typical scheduling problem,...
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Multi-start Tabu Agents-Based Model for the Dual-Resource Constrained Flexible Job Shop Scheduling Problem
Typically, processing jobs on a production floor require both machines and human resources. However, most classical scheduling problems ignore...
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Energy-efficient distributed heterogeneous blocking flowshop scheduling problem using a knowledge-based iterated Pareto greedy algorithm
In recent years, both distributed scheduling and energy-efficient scheduling have attracted great attention in production systems. This paper studies...
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Concept for Multi-Resources Flexible Job-Shop Scheduling
After having introduced the scheduling problem together with the state-of-the-art approaches used to solve it, we found that many of these approaches...
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Genetic algorithm with normal boundary intersection for multi-objective early/tardy scheduling problem with carbon-emission consideration: a Pareto-optimum solution
Green manufacturing has become an important research topic owing to the dominant role of the manufacturing industry in environmental conservation,...
